About
Highly accomplished Senior Software Developer and Integration Specialist with 5 years of experience in architecting and scaling complex CRM and cloud solutions, driving significant revenue growth through API-led integrations. Proven expertise in Salesforce, MuleSoft, and AWS, including a key project that enabled $50 million in quarterly sales. Adept at leveraging AI/ML, including Gemini APIs and RAG, to automate processes, enhance data-driven decision-making, and build intelligent applications.
Work
Jaipur, Rajasthan, India
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Summary
As a Senior Software Consultant, Nilay Sharma architects and delivers complex MuleSoft API integrations for Salesforce and AWS Marketplace, driving significant quarterly sales and streamlining deal management.
Highlights
Architected and delivered a MuleSoft API integration that automated Salesforce and AWS Marketplace private offers, directly enabling $50 million in quarterly sales and streamlining deal management for Account Executives.
Led the end-to-end development lifecycle from API design (RAML) to CloudHub 2.0 deployment, ensuring system reliability through MUnit test cases and active monitoring.
Engineered a robust, API-led MuleSoft solution connecting Salesforce with AWS Marketplace, implementing asynchronous webhook processing and real-time notifications to ensure data integrity.
Developed an AI-powered chatbot using Gemini APIs integrated with Salesforce for context-aware user interactions, and built a knowledge graph-powered recommendation system using RAG, FastAPI, Docker, and GCP Cloud Run.
Jaipur, Rajasthan, India
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Summary
As a Software Engineer, Nilay Sharma led the development and transformation of Salesforce solutions, enhancing performance, scalability, and user experience for accounting features across multiple countries.
Highlights
Transformed legacy Visualforce/Sencha UIs into LWC, reducing page load time by 40% and significantly improving user experience across key accounting modules.
Built a scalable audit file generator supporting 15-25 million records (an 8x increase from 2-3 million) for various countries, leveraging a dynamic SAQL engine and metadata-driven filters.
Implemented a Bryntum grid in LWC, enabling high-performance rendering and editing of 2,000+ line items per invoice record for mass updates and error resolution.
Led cross-functional efforts in refining epics and stories, collaborating with management, UI/UX, developers, and tech writers to deliver seamless solutions.
Developed generic Lightning components and loosely coupled backend using a factory design pattern, reducing code duplication and maintenance efforts.
Gurugram, Haryana, India
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Summary
As a Research & Development Intern, Nilay Sharma developed and trained an innovative deep learning model to analyze candidate performance in automated video interviews, significantly boosting correlation with human evaluations.
Highlights
Developed and trained a novel deep learning model (Transformers, LSTMs, self-attention) for automated video interview analysis, boosting correlation between AI and human evaluations by 62% (from 0.4 to 0.65).
Executed the end-to-end machine learning workflow, encompassing data cleaning, feature extraction from raw video/audio, and model validation for assessing soft skills like confidence and engagement.
Awards
Finalist, National Hackathon Manipal
Awarded By
National Hackathon Manipal Committee
Acknowledged for exceptional technical skills and collaborative project development.
Finalist, Smart India Hackathon
Awarded By
Smart India Hackathon Committee
Recognized for innovative problem-solving and technical expertise in a national hackathon.
Certificates
Skills
Languages
Apex, Python, JavaScript, DataWeave.
Backend & Databases
FastAPI, Node.js, PostgreSQL.
Salesforce Clouds
Sales Cloud, Service Cloud, Experience Cloud.
Frontend Development
LWC, SLDS, HTML5, CSS.
AI
Gemini APIs, RAG (Retrieval-Augmented Generation), AI Agents, Google AI Studio.
Platforms
Salesforce, Mulesoft, Anypoint Studio, Analytics Studio, Google Cloud Platform.
DevOps & CI/CD
Docker, CI/CD pipelines, Git, Github Actions.
APIs & Protocols
REST, GraphQL, gRPC, SOAP, OpenAPI, RAML.